AI is reshaping the manufacturing landscape, with process optimization emerging as one of its most promising applications. In the current industrial climate, factories face multiple challenges, including labor shortages and the increasing complexity of production demands.…
As per many historians and economists, the second half of the 18th century was one of the most crucial periods in human history as the inventions and developments in this period led to the start of…
Industries are rapidly evolving from the era of computer automation (Industry 3.0) to a new phase—Industry 4.0. This shift introduces exciting technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These…
The current AI discourse in manufacturing often revolves around automation and the potential displacement of human workers. While these are valid concerns, focusing solely on them overshadows a significant, yet often overlooked, opportunity: leveraging AI to enhance…
Join us ONLINE on September 10, 2024, for a deep dive into the intersection of sustainability and artificial intelligence at IIoT World’s Sustainability and Artificial Intelligence Day. This virtual event will feature live sessions that explore how…
Infusing data services into product management technology gives the industry a new look through improved decision-making and product performance. Technology trends leading this evolution include generative artificial intelligence (GenAI), machine learning (ML), and automation. These technologies…
As the industrial sector navigates the complexities of digital transformation, September 2024 is set to be a pivotal month for Industrial IoT and ICS cybersecurity professionals. This month features a dynamic lineup of events highlighting the…
Artificial intelligence (AI) is transforming enterprise asset management (EAM) by enhancing efficiency, accuracy, and predictive capabilities across various processes. This article outlines six key ways AI can improve EAM, particularly through data collection, management, and asset…
Data integration is a critical component for realizing the full potential of the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) in industrial settings. By enabling the aggregation and analysis of data from various sources,…
Green technology and artificial intelligence are converging into a practical operational toolkit for industrial organizations under pressure to reduce emissions, lower energy costs, and meet sustainability reporting obligations. At IIoT World, we track this convergence closely…
Artificial intelligence promises transformative gains for manufacturers, but deploying AI on the shop floor introduces risks that many organizations underestimate. IIoT World examines the most critical challenges facing industrial AI adoption: poor data quality that produces…
As artificial intelligence (AI) continues to revolutionize industries, leaders must prepare their organizations to harness AI's potential for value generation. This involves not only adopting new technologies but also fostering a culture of innovation and continuous…